• Prompt Engineer (LLMs / RAG / EdTech)

    Tech9 (Lehi, UT)


    Prompt Engineer (LLMs / RAG / EdTech)

    Why Tech9

    Tech9 is shaking up a 20-year-old industry — and we’re not slowing down. Recognized by Inc. 5000 as one of the nation’s fastest-growing companies, ranked #23 among Utah’s fastest-growing companies , and named one of Forbes’ Top 500 Startup Companies to Work For (two years running), we’re redefining what it means to build world-class software and AI-driven solutions.

     

    We invite you to interview with us, show us what you can do, and discover how Tech9 can give you the AI-forward career opportunity you’ve been looking for.

     

    About the Role

     

    We are partnering with a client seeking a highly skilled Prompt Engineer with deep expertise in LLM systems, structured prompt design, and simulation-driven learning environments .

     

    This role sits at the intersection of product, pedagogy, linguistics, psychology, and applied AI — ideal for someone who understands both the creative and technical sides of LLM-powered learning experiences.

     

    You’ll collaborate with simulation designers, AI engineers, and learning architects to craft structured prompts, evaluation frameworks, and RAG pipelines that power sophisticated learning simulations and human-interaction scenarios.

    Responsibilities

    + Design, structure, and refine high-quality prompts for complex, production LLM environments.

    + Implement and maintain RAG pipelines , ensuring accurate retrieval and structured JSON outputs.

    + Build evaluation rubrics, prompt datasets, and testing frameworks to measure output quality and alignment.

    + Translate learning objectives and human-to-human scenarios into effective prompt-driven AI behaviors.

    + Serve as the connective tissue between creative teams (simulation designers, instructional writers) and technical AI engineers .

    + Lead prompt ideation, prototyping, testing, iteration, and deployment.

    + Apply principles from linguistics, cognitive psychology, learning design, and communication modeling to improve prompt quality.

    + Contribute to evolving prompt engineering processes, tools, and best practices for scalable delivery.

    Minimum Qualifications

    +   3+ years of US-based EdTech experience.

    + 1–3+ years in AI/ML or product roles directly involving LLM systems.

    + Demonstrated expertise designing prompts for production LLMs (OpenAI, Claude, Gemini, etc.).

    + Strong understanding of RAG architectures , evaluation datasets, and structured outputs (JSON).

    + Background in linguistics, psychology, learning design, or communication modeling (strong plus).

    + Ability to bridge creative and technical domains, working effectively with writers, designers, and engineers.

    + Comfort working in ambiguity, rapidly prototyping, and iterating based on performance data.

    + Familiarity with learning platforms, behavior modeling, or communication simulations .

     

    Nice to Have

     

    + Experience with simulation platforms or virtual learning environments.

    + Experience designing psychological rubrics or scenario-based learning journeys.

    + Exposure to working with voice actors, scriptwriters, or narrative teams .

    What You’ll Love About Tech9

    At Tech9, we prioritize freedom, flexibility, and craftsmanship . When you join us, you can expect:

     

    + Opportunities to work on meaningful, cutting-edge AI experiences.

    + Autonomy to shape prompt design and AI behavior.

    + A collaborative, supportive environment with talented teammates.

    + No unnecessary bureaucracy — just what you need to succeed.

     

    Interview Process

    Our interview process moves efficiently while ensuring clarity and alignment:

    1. Introductory Call- Quick conversation with our recruiting team to understand background and alignment.

    2. On-Demand HireVue Screening- Behavioral and situational questions to learn how you communicate and work through ambiguity

    3. Internal Technical Interview- Deep dive into prompt engineering fundamentals, LLM design patterns, RAG reasoning, and structured output thinking.

    4. Client Technical Interview #1- Scenario-based problem solving focused on LLM behavior shaping, evaluation methods, and simulation logic.

    5. Client Technical Interview #2- Applied technical discussion on RAG pipelines, structured prompts, and real-world production examples.

    6. Client Culture Fit Interview- Conversation with client stakeholders to ensure team alignment, collaboration style, and communication fit.

     

    ( Additional steps may be added if needed. )

    #US

    #LI-Remote

    To ensure you've received our notifications, please whitelist the domains jazz.co, jazz.com, and applytojob.com

     

    Powered by JazzHR